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    Quantile regression: applications and current research areas

    Access Status
    Fulltext not available
    Authors
    Yu, K.
    Lu, Zudi
    Stander, J.
    Date
    2009
    Type
    Journal Article
    
    Metadata
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    Citation
    Yu, Keming and Lu, Zudi and Stander, J. 2009. Quantile regression: applications and current research areas. Journal of the Royal Statistical Society, Series D. 52 (3): pp. 331-350.
    Source Title
    Journal of the Royal Statistical Society, Series D
    Additional URLs
    http://www.jstor.org/stable/4128208
    ISSN
    0039-0526
    Faculty
    School of Science and Computing
    Department of Mathematics and Statistics
    Faculty of Science and Engineering
    URI
    http://hdl.handle.net/20.500.11937/2933
    Collection
    • Curtin Research Publications
    Abstract

    Quantile regression offers a more complete statistical model than mean regression and now has widespread applications. Consequently, we provide a review of this technique. We begin with an introduction to and motivation for quantile regression. We then discuss some typical application areas. Next we outline various approaches to estimation. We finish by briefly summarizing some recent research areas.

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